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面向救援场景的视触融合物体识别 学位论文
, 2024
Authors:  张源培
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视触融合  救援场景  深度补全  触觉感知  
面向事件传播的隐式语义表达分析方法研究 学位论文
, 2024
Authors:  苑敏洁
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事件传播  预训练文本表征与生成  隐式表达线索  主题对象关联对  多维度要素  
基于自回归预训练的多语言文本-图像理解方法研究 学位论文
, 2024
Authors:  田哲源
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多语言模型  文本-图像跨模态理解  自回归预训练  参数微调  
多维注意力特征聚合立体匹配算法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 7, 页码: 1805-1815
Authors:  张亚茹;  孔雅婷;  刘彬
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深度学习  立体匹配  多维注意力机制  信息交互  
基于MHSA和句法关系增强的机器阅读理解方法研究 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 11, 页码: 2718-2728
Authors:  张虎;  王宇杰;  谭红叶;  李茹
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机器阅读理解  多头自注意力  句法关系  多跳推理  
自适应特征融合的多模态实体对齐研究 期刊论文
自动化学报, 2024, 卷号: 50, 期号: 4, 页码: 758-770
Authors:  郭浩;  李欣奕;  唐九阳;  郭延明;  赵翔
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多模态知识图谱  实体对齐  预训练模型  特征融合  
Comprehensive Relation Modelling for Image Paragraph Generation 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 369-382
Authors:  Xianglu Zhu;  Zhang Zhang;  Wei Wang;  Zilei Wang
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Image paragraph generation, visual relationship, scene graph, graph convolutional network (GCN), long short-term memory  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
Authors:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
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Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
Authors:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
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Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum learning  
GraphFlow+: Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 272-282
Authors:  Jing Hu;  Lingfei Wu;  Yu Chen;  Po Hu;  Mohammed J. Zaki
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Conversational machine comprehension (MC), reading comprehension, question answering, graph neural networks (GNNs), natural language processing (NLP)